artifacts/lora_vs_baseline.md

LoRA Fold 0 vs Tabular Baseline

Caveat: LoRA is one group fold; baseline is the current five-fold mean.

Target	LoRA	Baseline	Delta	Verdict
optimal_temperature_c MAE	3.6660	2.6743	+0.9917	worse
optimal_ph MAE	0.5598	0.4685	+0.0913	worse
salt_tolerance_pct MAE	1.8154	1.9171	-0.1017	better
oxygen_requirement macro F1	0.9448	0.4020	+0.5428	better

Recommendation

The first LoRA pass is strongest for oxygen classification. For the next GPU run, use scripts/lambda_train_lora.py --target-preset oxygen instead of spending more A100 time optimizing regression losses that underperformed the tabular baseline.

Keep artifacts/lora/fold0_best.pt outside git unless it is published to a model store or release asset; the JSON metrics and log are enough for repo history.